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Z-Image Turbo on 8 GB of VRAM

Not at full quality. The 16-bit and 8-bit files are too big for 8 GB; the largest that fits is Q6_K (5.9 GB). A 6B, 8-step model from Alibaba's Tongyi lab and one of the most downloaded ComfyUI models of the past year. Fast and light.

Image model · 6BAny 8 GB GPUData 2026-10-01
Runs
Yes, with a compressed file.

Q6_K (5.9 GB) fits with only 0.1 GB to spare (about 7.9 GB of 8 GB). Quality: very close to the original. For better quality, INT8 (6.2 GB) also runs, with about 0.2 GB spilling into system RAM - a little slower, still practical.

Best fileQ6_K
File size5.9 GB
VRAM needed~7.9 GB
System RAM32 GB+
Memory map · 8 GB GPU7.9 GB / 8 GB
04 GB8 GB
Weights Q6_K · 5.9 GBWorking memory · 1.2 GBReserve · 0.8 GBFree · 0.1 GB

Also try the INT8 file (6.2 GB) on NVIDIA GPUs. It does not fit entirely, but a current ComfyUI streams the overflow from RAM and native 8-bit files often beat a small GGUF that does fit. Dynamic VRAM →

01What to download

PartFileFolderSize
Modelz-image-turbo-Q6_K.gguf
Q6_K · unsloth/Z-Image-Turbo-GGUF
models/unet5.9 GBDownload →
Text encoderqwen_3_4b_fp8_mixed.safetensors
Qwen3 4B FP8 · Comfy-Org/z_image_turbo
models/text_encoders5.6 GBDownload →
VAEae.safetensors
FLUX.1 VAE (ae) · Comfy-Org/z_image_turbo
models/vae0.3 GBDownload →
Total download · keep about the same free on disk11.9 GB

Alternatives: Qwen3 4B BF16 (8.0 GB). Sizes from Hugging Face, 2026-10-01.

Free ComfyUI workflow, tested on my RTX 5060 Ti: 16-bit workflow (.json). Drag the file into ComfyUI. All workflows →

02Every file, on 8 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
12.3 GB14.3 GB6.3 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · unsloth
7.2 GB9.2 GBspills 1.2 GBpractically identical to the originalHugging Face →
INT8
SAFETENSORS · Comfy-Org
6.2 GB8.2 GBspills 0.2 GBpractically identical to the originalHugging Face →
Q6_K ←
GGUF · unsloth
5.9 GB7.9 GBfits · 0.1 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · unsloth
5.6 GB7.6 GBfits · 0.4 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · unsloth
5.0 GB7.0 GBfits · 1.0 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · unsloth
4.2 GB6.2 GBfits · 1.8 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · unsloth
3.6 GB5.6 GBfits · 2.4 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 1.2 GB of working memory for Z-Image Turbo and a 0.8 GB reserve. Sizes 2026-10-01.